The Biomarker Toolkit - an evidence-based guideline to predict cancer biomarker success and guide development.

BACKGROUND: An increased number of resources are allocated on cancer biomarker discovery, but very few of these biomarkers are clinically adopted. To bridge the gap between Biomarker discovery and clinical use, we aim to generate the Biomarker Toolkit, a tool designed to identify clinically promising biomarkers and promote successful biomarker translation. METHODS: All features associated with a clinically useful biomarker were identified using mixed-methodology, including systematic literature search, semi-structured interviews, and an online two-stage Delphi-Survey. Validation of the checklist was achieved by independent systematic literature searches using keywords/subheadings related to clinically and non-clinically utilised breast and colorectal cancer biomarkers. Composite aggregated scores were generated for each selected publication based on the presence/absence of an attribute listed in the Biomarker Toolkit checklist. RESULTS: Systematic literature search identified 129 attributes associated with a clinically useful biomarker. These were grouped in four main categories including: rationale, clinical utility, analytical validity, and clinical validity. This checklist was subsequently developed using semi-structured interviews with biomarker experts (n=34); and 88.23% agreement was achieved regarding the identified attributes, via the Delphi survey (consensus level:75%, n=51). Quantitative validation was completed using clinically and non-clinically implemented breast and colorectal cancer biomarkers. Cox-regression analysis suggested that total score is a significant driver of biomarker success in both cancer types (BC: p>0.0001, 95.0% CI: 0.869-0.935, CRC: p>0.0001, 95.0% CI: 0.918-0.954). CONCLUSIONS: This novel study generated a validated checklist with literature-reported attributes linked with successful biomarker implementation. Ultimately, the application of this toolkit can be used to detect biomarkers with the highest clinical potential and shape how biomarker studies are designed/performed.

Laparoscopic versus robotic abdominal and pelvic surgery: a systematic review of randomised controlled trials.

BACKGROUND: The current evidence is inconclusive on whether robotic or laparoscopic surgery is the optimal platform for minimally invasive surgery. Existing comparisons techniques focus on short-term outcomes only, while potentially being confounded by a lack of standardisation in robotic procedures. There is a pertinent need for an up-to-date comparison between minimally invasive surgical techniques. We aimed to systematically review randomised controlled trials comparing robotic and laparoscopic techniques in major surgery. METHODS: Embase, Medline and Cochrane Library were searched from their inception to 13th September 2022. Included studies were randomised controlled trials comparing robotic and laparoscopic techniques in abdominal and pelvic surgery. The study followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Short-term, health-related quality of life, and long-term, outcomes were analysed. RESULTS: Forty-five studies, across thirteen procedures, involving 7364 patients were included. All of the studies reported non-significant differences in mortality between robotic and laparoscopic surgery. In majority of studies, there was no significant difference in complication rate (n = 31/35, 85.6%), length of postoperative stay (n = 27/32, 84.4%), and conversion rate (n = 15/18, 83.3%). Laparoscopic surgery was associated with shorter operative time (n = 16/31, 51.6%) and lower total cost (n = 11/13, 84.6%). Twenty three studies reported on quality of life outcomes; majority (n = 14/23, 60.9%) found no significant differences. CONCLUSION: There were no significant differences between robotic surgery and laparoscopic surgery with regards to mortality and morbidity outcomes in the majority of studies. Robotic surgery was frequently associated with longer operative times and higher overall cost. Selected studies found potential benefits in post-operative recovery time, and patient-reported outcomes; however, these were not consistent across procedures and trials, with most studies being underpowered to detect differences in secondary outcomes. Future research should focus on assessing quality of life, and long-term outcomes to further elucidate where the robotic platform could lead to patient benefits, as the technology evolves.

The influence of procedural volume on short-term outcomes for robotic pancreatoduodenectomy-a cohort study and a learning curve analysis.

BACKGROUND: An increasing number of robotic pancreatoduodenectomies (RPD) are reported, however, questions remain on the number of procedures needed for gaining technical proficiency in RPD. Therefore, we aimed to assess the influence of procedure volume on short-term RPD outcomes and assess the learning curve effect. METHODS: A retrospective review of consecutive RPD cases was undertaken. Non-adjusted cumulative sum (CUSUM) analysis was performed to identify the procedure volume threshold, following which before-threshold and after-threshold outcomes were compared. RESULTS: Since May 2017, 60 patients had undergone an RPD at our institution. The median operative time was 360 min (IQR 302.25-442 min). CUSUM analysis of operative time identified 21 cases as proficiency threshold, indicated by curve inflexion. Median operative time was significantly shorter after the threshold of 21 cases (470 vs 320 min, p < 0.001). No significant difference was found between before- and after-threshold groups in major Clavien-Dindo complications (23.8 vs 25.6%, p = 0.876). CONCLUSIONS: A decrease in operative time after 21 RPD cases suggests a threshold of technical proficiency potentially associated with an initial adjustment to new instrumentation, port placement and standardisation of operative step sequence. RPD can be safely performed by surgeons with prior laparoscopic surgery experience.

Can we predict the progression of premalignant pancreatic cystic tumors to ductal adenocarcinoma?

Pancreatic ductal adenocarcinoma (PDAC) is the most prevalent malignant pancreatic tumor. Few studies have shown how often PDACs arise from cystic precursor lesions. This special report aims to summarize the evidence on the progression of precancerous lesions to PDAC. A review of the literature found four studies that discussed pancreatic intraepithelial lesions (PanINs), three that discussed mucinous cystic neoplasms (MCN) and five that discussed intraductal papillary neoplasms (IPMNs). PanINs were the most common precursors lesion, with approximately 80% of PDACs originating from this lesion. The lack of evidence characterizing the features of PDAC precursor cystic lesions potentially leads to a subset of patients undergoing surgery unnecessarily. Advancements in molecular techniques could allow the study of cystic lesions at a genetic level, leading to more personalized management.

Cancer arising from the ducts within the pancreas is the most common type of pancreatic cancer. Some cancers develop from precancerous changes, but these are not currently well described. Therefore, we have summarized the existing knowledge on the precancerous changes causing pancreatic cancer. We found three main precancerous changes: pancreatic intraepithelial lesions; mucinous cystic neoplasms; and intraductal papillary neoplasms. Pancreatic intraepithelial lesions were the most common pancreatic precancerous lesion, leading to 80% of cancers of the pancreatic ducts. A few studies indicate that patients would benefit from surgery to remove precancerous lesions. We believe that, due to advances in genetic studies, personalized strategies for treating pancreatic cancers will emerge in the future.

Robotic Distal Pancreatectomy Yields Superior Outcomes Compared to Laparoscopic Technique: A Single Surgeon Experience of 123 Consecutive Cases.

Technical limitations of laparoscopic distal pancreatectomy (LDP), in comparison to robotic distal pancreatectomy (RDP), may translate to high conversion rates and morbidity. LDP and RDP procedures performed between December 2008 and January 2023 in our tertiary referral hepatobiliary and pancreatic centres were analysed and compared with regard to short-term outcomes. A total of 62 consecutive LDP cases and 61 RDP cases were performed. There was more conversion to open surgeries in the laparoscopic group compared with the robotic group (21.0% vs. 1.6%, p = 0.001). The LDP group also had a higher rate of postoperative complications (43.5% vs. 23.0%, p = 0.005). However, there was no significant difference between the two groups in terms of major complication or pancreatic fistular after operations (p = 0.20 and p = 0.71, respectively). For planned spleen-preserving operations, the RDP group had a shorter mean operative time (147 min vs. 194 min, p = 0.015) and a reduced total length of hospital stay compared with the LDP group (4 days vs. 7 days, p = 0.0002). The failure rate for spleen preservation was 0% in RDP and 20% (n = 5/25) in the LDP group (p = 0.009). RDP offered a better method for splenic preservation with Kimura's technique compared with LDP to avoid the risk of splenic infarction and gastric varices related to ligation and division of splenic pedicles. RDP should be the standard operation for the resection of pancreatic tumours at the body and tail of the pancreas without involving the celiac axis or common hepatic artery.

An Updated Analysis of Clinical Outcome Measures Across Patients From the UK Medical Cannabis Registry.

Introduction: There is a growing body of literature supporting the efficacy of cannabis-based medicinal products (CBMPs). Despite an increase in prescribing globally, there is a paucity of high-quality clinical data on the efficacy of CBMPs for many conditions. This study aims to detail the changes in health-related quality of life (HRQoL) and associated clinical safety in patients prescribed CBMPs for any clinical indication from the UK Medical Cannabis Registry (UKMCR). Methods: An uncontrolled prospective case series of the UKMCR was analyzed. Primary outcomes included change from baseline in patient-reported outcome measures collected across all patients (the Generalized Anxiety Disorder Scale [GAD-7], EQ-5D-5L, and Sleep Quality Scale [SQS]) at 1, 3, and 6 months. Secondary outcomes included the self-reported incidence and severity of adverse events. Statistical significance was defined as p<0.050. Results: Three hundred twelve patients were included in the final analysis, with a mean age of 44.8. The most common primary diagnoses were chronic pain of undefined etiology (n=102, 32.7%), neuropathic pain (n=43, 13.8%), and fibromyalgia (n=31, 9.9%). Before enrolment, 112 (35.9%) patients consumed cannabis daily. The median cannabidiol and (-)-trans-Δ9-tetrahydrocannabinol doses prescribed at baseline were 20.0 mg (0.0-510.0 mg) and 3.0 mg (0.0-660.0 mg), respectively. Statistically significant improvements were observed in GAD-7, EQ-5D-5L Index, EQ-5D Visual Analog Scale and SQS scores at 1, 3, and 6 months (p<0.050). There were 94 (30.1%) reported adverse events, of which nausea (n=12, 3.8%), dry mouth (n=10, 3.2%), dizziness (n=7, 2.2%), and somnolence (n=7, 2.2%) were the most common. Conclusion: This study demonstrated CBMP treatment to be associated with a relatively low incidence of severe adverse events in the medium-term. Positive changes following treatment were observed in general, as well as anxiety and sleep-specific, HRQoL outcomes. Randomized controlled trials are still awaited to assess causation; however, real-world evidence can help inform current clinical practice, future trials, and is an important component of pharmacovigilance.

Artificial intelligence in the detection, characterisation and prediction of hepatocellular carcinoma: a narrative review.

Hepatocellular carcinoma (HCC) is a significant cause of morbidity and mortality worldwide. Despite significant advancements in detection and treatment of HCC, its management remains a challenge. Artificial intelligence (AI) has played a role in medicine for several decades, however, clinically applicable AI-driven solutions have only started to emerge, due to gradual improvement in sensitivity and specificity of AI, and implementation of convoluted neural networks. A review of the existing literature has been conducted to determine the role of AI in HCC, and three main domains were identified in the search: detection, characterisation and prediction. Implementation of AI models into detection of HCC has immense potential, as AI excels at analysis and integration of large datasets. The use of biomarkers, with the rise of '-omics', can revolutionise the detection of HCC. Tumour characterisation (differentiation between benign masses, HCC, and other malignant tumours, as well as staging and grading) using AI was shown to be superior to classical statistical methods, based on radiological and pathological images. Finally, AI solutions for predicting treatment outcomes and survival emerged in recent years with the potential to shape future HCC guidelines. These AI algorithms based on a combination of clinical data and imaging-extracted features can also support clinical decision making, especially treatment choice. However, AI research on HCC has several limitations, hindering its clinical adoption; small sample size, single-centre data collection, lack of collaboration and transparency, lack of external validation, and model overfitting all results in low generalisability of the results that currently exist. AI has potential to revolutionise detection, characterisation and prediction of HCC, however, for AI solutions to reach widespread clinical adoption, interdisciplinary collaboration is needed, to foster an environment in which AI solutions can be further improved, validated and included in treatment algorithms. In conclusion, AI has a multifaceted role in HCC across all aspects of the disease and its importance can increase in the near future, as more sophisticated technologies emerge.

Real-time tracking of a diffuse reflectance spectroscopy probe used to aid histological validation of margin assessment in upper gastrointestinal cancer resection surgery.

SIGNIFICANCE: Diffuse reflectance spectroscopy (DRS) allows discrimination of tissue type. Its application is limited by the inability to mark the scanned tissue and the lack of real-time measurements. AIM: This study aimed to develop a real-time tracking system to enable localization of a DRS probe to aid the classification of tumor and non-tumor tissue. APPROACH: A green-colored marker attached to the DRS probe was detected using hue-saturation-value (HSV) segmentation. A live, augmented view of tracked optical biopsy sites was recorded in real time. Supervised classifiers were evaluated in terms of sensitivity, specificity, and overall accuracy. A developed software was used for data collection, processing, and statistical analysis. RESULTS: The measured root mean square error (RMSE) of DRS probe tip tracking was 1.18 ± 0.58 mm and 1.05 ± 0.28 mm for the x and y dimensions, respectively. The diagnostic accuracy of the system to classify tumor and non-tumor tissue in real time was 94% for stomach and 96% for the esophagus. CONCLUSIONS: We have successfully developed a real-time tracking and classification system for a DRS probe. When used on stomach and esophageal tissue for tumor detection, the accuracy derived demonstrates the strength and clinical value of the technique to aid margin assessment in cancer resection surgery.

Quality of life reporting in the management of posterior fossa tumours: A systematic review.

Introduction: Survival amongst posterior fossa tumour (PFT) patients is improving. Clinical endpoints such as overall survival fail to depict QoL. There is yet to be a review of current QoL instruments used for adult PFTs. Aim of this review is to outline the QoL reporting in the management of PFTs and measure participation level. Methods: This systematic review was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analysis. A search strategy to identify adult patients with PFTs who took part in QoL metrics was conducted. Observational and experimental studies published from 1990 to date were included. Studies with a sample size less than 10 and performance measures such as Karnofsky Performance Status were not considered. Results: A total of 116 studies were included in the final analysis. Vestibular schwannomas were the most common tumour pathology (n = 23,886, 92.6%) followed by pilocytic astrocytomas (n = 657, 2.5%) and meningiomas (n = 437, 1.7%) Twenty-five different QoL measures were used in the study pool. SF-36 was the most common (n = 55, 17 47.4%) QoL metric in the whole study pool, followed by the Penn Acoustic Neuroma QoL scale (n = 24, 20.7%) and Dizziness Handicap Inventory (n = 16, 13.8%). Seventy-two studies reported less-than 100% participation in QoL evaluation. The commonest reason for non-participation was a lack of response (n = 1,718, 60.8%), incomplete questionnaires (n = 268, 9.4%) and cognitive dysfunction (n = 258, 9.1%). Conclusion: Informed clinical decision-making in PFT patients requires the development of specific QoL outcomes. Core outcome sets, and minimal clinically important differences (MCID) are essential for these metrics to show clinically significant improvements in patient QoL.

Hepatic epithelioid hemangioendothelioma (HEHE)-rare vascular malignancy mimicking cholangiocarcinoma: a case report.

Hepatic epithelioid hemangioendothelioma (HEHE) is a rare, often misdiagnosed malignancy of vascular origin. We describe a case of a 36-year-old, who presented with a burning sensation in his chest on exercise and was believed to have bilobar intrahepatic cholangiocarcinoma. After receiving chemotherapy with partial response, the patient underwent staged resection with modified associating liver partition with portal vein ligation for staged hepatectomy (ALPPS) procedure-laparoscopic radiofrequency-assisted ALPPS (RALPPS). Histological examination of the stage 1 specimen revealed HEHE deposits in the left lobe of the liver. The patient proceeded to have stage 2 open right hepatectomy with concurring histology. Ninety-day follow-up computed tomography scan showed almost complete resolution of HEHE lesions. Low incidence, non-specific clinical and radiological characteristics all contribute to high HEHE misdiagnosis rate. Histological analysis can be used for confirmation of the diagnosis; however, specialist staining is required, which is not routinely performed. Multiple treatments are available against HEHE, but only liver resection and liver transplantation are potentially curative. ALPPS and its modifications (such as RALPPS) offer an alternative from conventional two-stage hepatectomy for patients with extensive bilobar HEHE, who are at risk of developing post-hepatectomy liver failure or patients with anomalous hepatic vasculature anatomy which makes portal vein embolisation (PVE) challenging.

Real-time Tracking and Classification of Tumor and Nontumor Tissue in Upper Gastrointestinal Cancers Using Diffuse Reflectance Spectroscopy for Resection Margin Assessment.

Importance: Cancers of the upper gastrointestinal tract remain a major contributor to the global cancer burden. The accurate mapping of tumor margins is of particular importance for curative cancer resection and improvement in overall survival. Current mapping techniques preclude a full resection margin assessment in real time. Objective: To evaluate whether diffuse reflectance spectroscopy (DRS) on gastric and esophageal cancer specimens can differentiate tissue types and provide real-time feedback to the operator. Design, Setting, and Participants: This was a prospective ex vivo validation study. Patients undergoing esophageal or gastric cancer resection were prospectively recruited into the study between July 2020 and July 2021 at Hammersmith Hospital in London, United Kingdom. Tissue specimens were included for patients undergoing elective surgery for either esophageal carcinoma (adenocarcinoma or squamous cell carcinoma) or gastric adenocarcinoma. Exposures: A handheld DRS probe and tracking system was used on freshly resected ex vivo tissue to obtain spectral data. Binary classification, following histopathological validation, was performed using 4 supervised machine learning classifiers. Main Outcomes and Measures: Data were divided into training and testing sets using a stratified 5-fold cross-validation method. Machine learning classifiers were evaluated in terms of sensitivity, specificity, overall accuracy, and the area under the curve. Results: Of 34 included patients, 22 (65%) were male, and the median (range) age was 68 (35-89) years. A total of 14 097 mean spectra for normal and cancerous tissue were collected. For normal vs cancer tissue, the machine learning classifier achieved a mean (SD) overall diagnostic accuracy of 93.86% (0.66) for stomach tissue and 96.22% (0.50) for esophageal tissue and achieved a mean (SD) sensitivity and specificity of 91.31% (1.5) and 95.13% (0.8), respectively, for stomach tissue and of 94.60% (0.9) and 97.28% (0.6) for esophagus tissue. Real-time tissue tracking and classification was achieved and presented live on screen. Conclusions and Relevance: This study provides ex vivo validation of the DRS technology for real-time differentiation of gastric and esophageal cancer from healthy tissue using machine learning with high accuracy. As such, it is a step toward the development of a real-time in vivo tumor mapping tool for esophageal and gastric cancers that can aid decision-making of resection margins intraoperatively.

UK Medical Cannabis Registry: an analysis of clinical outcomes of medicinal cannabis therapy for generalized anxiety disorder.

OBJECTIVES: Anxiety disorders are one of the most common reasons for seeking treatment with cannabis-based medicinal products (CBMPs). Current pharmacological treatments are variable in efficacy and the endocannabinoid system has been identified as a potential therapeutic target. This study aims to detail the changes in health-related quality-of-life (HRQoL) and clinical safety following CBMP therapy for generalized anxiety disorder. METHODS: A case series from the UK Medical Cannabis Registry was performed. Primary outcomes included changes from baseline in patient-reported outcome measures (the General Anxiety Disorder Scale (GAD-7), EQ-5D-5L (a measure of health-related quality of life), and Sleep Quality Scale (SQS)) at 1, 3 and 6 months. Statistical significance was defined as p<0.050. RESULTS: Sixty-seven patients were treated for generalized anxiety disorder. Statistically significant improvements were observed in GAD-7, EQ-5D-5L Index Value, EQ5D Visual Analog Scale, and SQS scores at 1, 3 and 6 months (p<0.050). Twenty-five (39.1%) patients reported adverse events during the follow-up period. CONCLUSION: This study suggests that CBMPs may be associated with improvements in HRQoL outcomes when used as a treatment for generalized anxiety disorder. These findings must be treated with caution considering limitations of study design; however this data may help inform future clinical studies and practice.Plain Language SummaryAnxiety disorders are the most prevalent psychiatric illness type in the United Kingdom, with 8.2 million cases reported in 2010. Generalized anxiety disorder (GAD), the most common anxiety disorder, debilitates, and so reduces the quality of life of those who suffer from the condition.The efficacy of current treatments for GAD varies greatly from person-to-person. The endocannabinoid system in the human body is currently attracting a lot of attention in the scientific community as it can be targeted by chemicals in the cannabis plant to produce therapeutic effects in order to treat GAD. There is, however, a lack of studies investigating the effects of medicinal cannabis in GAD, and so this study aims to explore the drug's effect on quality of life in patients suffering from GAD.Sixty-seven patients who attended the Sapphire Clinics for medicinal cannabis treatment for GAD were included in the study. The results from this study highlight that medicinal cannabis may improve generalized anxiety disorder, general health-related quality of life, and sleep-specific outcomes at 1, 3, and 6 months after starting treatment. There was also a low number of severe, disabling, and life-threatening adverse events experienced by patients. Although this study explores the effects of medicinal cannabis in a real clinical setting, the results were not compared to other types of treatment. Future studies with a comparator are therefore needed before concluding the true effects of medicinal cannabis in patients with GAD.

UK Medical Cannabis registry: an analysis of clinical outcomes of medicinal cannabis therapy for chronic pain conditions.

OBJECTIVES: To explore pain-specific, general health-related quality of life (HRQoL), and safety outcomes of chronic pain patients prescribed cannabis-based medicinal products (CBMPs). METHODS: A case series was performed using patients with chronic pain from the UK Medical Cannabis Registry. Primary outcomes were changes in Brief Pain Inventory short-form (BPI), Short-form McGill Pain Questionnaire-2 (SF-MPQ-2), Visual Analogue Scale-Pain (VAS), General Anxiety Disorder-7 (GAD-7), Sleep Quality Scale (SQS), and EQ-5D-5L, at 1, 3, and 6 months from baseline. Statistical significance was defined at p-value<0.050. RESULTS: 190 patients were included. Median initial Δ9-tetrahydrocannabinol and cannabidiol daily doses were 2.0mg (range:0.0-442.0mg) and 20.0mg (range:0.0-188.0mg) respectively. Significant improvements were observed within BPI, SF-MPQ-2, GAD-7, SQS, EQ-5D-5 L index, and VAS measures at all timepoints (p<0.050). Seventy-five adverse events (39.47%) were reported, of which 37 (19.47%) were rated as mild, 23 (12.11%) as moderate, and 14 (7.37%) as severe. Nausea (n=11; 5.8%) was the most frequent adverse event. CONCLUSION: An association was identified between patients with chronic pain prescribed CBMPs and improvements in pain-specific and general HRQoL outcomes. Most adverse events were mild to moderate in severity, indicating CBMPs were well tolerated. Inherent limitations of study design limit its overall applicability.

UK Medical Cannabis Registry palliative care patients cohort: initial experience and outcomes.

INTRODUCTION: Palliative care aims to improve quality of life through optimal symptom control and pain management. Cannabis-based medicinal products (CBMPs) have a proven role in the treatment of chemotherapy-induced nausea and vomiting. However, there is a paucity of high-quality evidence with regards to the optimal therapeutic regimen, safety, and effectiveness of CBMPs in palliative care, as existing clinical trials are limited by methodological heterogeneity. The aim of this study is to summarise the outcomes of the initial subgroup of patients from the UK Medical Cannabis Registry who were prescribed CBMPs for a primary indication of palliative care, cancer pain and chemotherapy-induced nausea and vomiting, including effects on health-related quality of life and clinical safety. METHODS: A case series from the UK Medical Cannabis Registry of patients, who were receiving CBMPs for the indication of palliative care was undertaken. The primary outcome consisted of changes in patient-reported outcome measures including EQ-5D-5L, General Anxiety Disorder-7 (GAD-7), Single-Item Sleep Quality Scale (SQS), Pain Visual Analog Scale (VAS) and the Australia-Modified Karnofsky Performance Scale at 1 and 3 months compared to baseline. Secondary outcomes included the incidence and characteristics of adverse events. Statistical significance was defined by p-value< 0.050. RESULTS: Sixteen patients were included in the analysis, with a mean age of 63.25 years. Patients were predominantly prescribed CBMPs for cancer-related palliative care (n = 15, 94%). The median initial CBD and THC daily doses were 32.0 mg (Range: 20.0-384.0 mg) and 1.3 mg (Range: 1.0-16.0 mg) respectively. Improvements in patient reported health outcomes were observed according to SQS, EQ-5D-5L mobility, pain and discomfort, and anxiety and depression subdomains, EQ-5D-5L index, EQ-VAS and Pain VAS validated scales at both 1-month and 3-months, however, the changes were not statistically significant. Three adverse events (18.75%) were reported, all of which were either mild or moderate in severity. CONCLUSION: This small study provides an exploratory analysis of the role of CBMPs in palliative care in the first cohort of patients since CBMPs legalisation in the UK. CBMPs were tolerated with few adverse events, all of which were mild or moderate and resolved spontaneously. Further long-term safety and efficacy studies involving larger cohorts are needed to establish CBMPs role in palliative care, including comparisons with standard treatments.

Presentation and surgical management of a gossypiboma presenting with small bowel obstruction.

Gossypiboma is a cotton-based foreign body retained within the human body following a surgical procedure. Transmural migration of intra-abdominal gossypiboma into the small bowel is rare; however, it can present with life-threatening complications. We report a case of a 28-year-old male who presented with small bowel obstruction due to gossypiboma, 11 years after the initial surgical procedure. Due to the size of the retained surgical swab, 40 cm × 40 cm, an open surgical approach was preferred. Following removal of the retained swab and bowel reconstruction, the patient was followed in clinic and discharged without complications. Staff education and adherence to operating room record-keeping protocols can prevent gossypiboma. To the best of our knowledge such a long interval between the initial surgery and presentation of gossypiboma that large has not been previously reported in the literature.

Clinical Outcome Data of First Cohort of Chronic Pain Patients Treated With Cannabis-Based Sublingual Oils in the United Kingdom: Analysis From the UK Medical Cannabis Registry.

Cannabis-based medicinal products (CBMPs) are an emerging therapeutic option in the management of primary chronic pain, using the role of the endocannabinoid system in modulating central and peripheral pain processes. Despite promising preclinical data, there is a paucity of high-quality evidence to support the use of CBMPs for chronic pain. This study aimed to investigate the health-related quality-of-life outcomes of patients with chronic pain who were prescribed CBMP oil preparations (Adven, Curaleaf International, Guernsey, UK). This study is a case series of patients from the UK Medical Cannabis Registry, who were treated with CBMP oils for an indication of chronic pain. The primary outcomes were the changes in Brief Pain Inventory short form, Short-Form McGill Pain Questionnaire-2, Visual Analog Scale Pain, General Anxiety Disorder-7, Sleep Quality Scale, and EQ-5D-5L, at 1, 3, and 6 months. One hundred ten patients were included. Significant improvements in Sleep Quality Scale, EQ-5D-5L pain and discomfort subscale, and Brief Pain Inventory Interference Subscale (P < .05) at 1, 3, and 6 months were demonstrated. There were no notable differences between cannabis-naïve and previous cannabis users in quality-of-life outcomes. The adverse event incidence was 30.0%, with most (n = 58; 92.1%) adverse events being mild or moderate in intensity. Treatment of chronic pain with Adven CBMP oils was associated with an improvement in pain-specific outcomes, health-related quality of life, and self-reported sleep quality. Relative safety was demonstrated over medium-term prescribed use. While these findings must be treated with caution considering the limitations of study design, they can inform future clinical trials.

Clinical utility of clonal origin determination in managing recurrent hepatocellular carcinoma.

INTRODUCTION: Recurrence is the driving factor for reduced long-term survival in patients following resected hepatocellular carcinoma (HCC). Extensive research efforts have been conducted to understand the molecular processes precipitating disease recurrence. Modern genomic techniques have identified two distinct mechanisms for recurrent HCC (RHCC): Intrahepatic metastasis (IM-HCC); and multicentric origin (MO-HCC). Medline, EMBASE and Cochrane library were methodically searched for primary research articles in English with the aim of appraising existing literature on the identification of clonal origin of RHCC and its potential clinical utility. AREAS COVERED: Molecular and next-generation sequencing techniques, when applied to clonal origin identification, yield superior accuracy than traditional clinicopathological criteria. Despite various treatment modalities, no optimal therapy has yet been identified for treating clonally differentiated RHCC. Patients with MO-HCC appear to experience improved long-term survival following re-treatment compared to their IM-HCC counterparts (91.7% vs 22.9% 5-year survival, p < 0.001). However, cautious interpretation is advised as heterogeneous classification criteria and small sample sizes restrict the generalizability of such findings. EXPERT OPINION: Improved identification of clonal origin in RHCC may facilitate further research on RHCC treatment strategies and enable the development of novel therapeutic targets, potentially leading to individualized treatment approaches in the future.